What is kemdiCode MCP?
kemdiCode MCP is a Model Context Protocol server that gives AI agents and IDE assistants access to 124 specialized tools for code analysis, generation, git operations, file management, AST-aware editing, project memory, cognition and self-improvement, multi-board kanban, and multi-agent coordination. It supports 7 LLM providers and is designed for developers who want persistent, intelligent AI-assisted development workflows.
How to use kemdiCode MCP?
Install globally via npm: npm install -g kemdicode-mcp. Then add the server to your AI IDE configuration (e.g., Claude Code, Cursor, KiroCode, or RooCode) using a JSON block like { "mcpServers": { "kemdicode-mcp": { "command": "kemdicode-mcp" } } }. Describe your goal in natural language; the AI agent automatically invokes the appropriate tools.
Key features of kemdiCode MCP
- 124 tools across code analysis, generation, git, file management, and more
- Cognition layer with 8 self-improvement tools for persistent AI memory
- Multi-board kanban for task and project management
- Multi-agent orchestration and coordination
- Multi-model consensus for architecture decisions
- AST-aware editing and project memory
- Supports 7 LLM providers (OpenAI, Anthropic, Google, etc.)
Use cases of kemdiCode MCP
- Review code for security issues before committing
- Fix bugs with AI assistance and cross-session error tracking
- Compare architecture decisions using multiple LLMs (e.g., event sourcing vs CRUD)
- Persist project decisions and context across sessions via write-memory/read-memory
- Distribute work among multiple AI agents (backend, frontend, QA) on a kanban board
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